受賞区分：国内学会・会議・シンポジウム等の賞  受賞国：日本国

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受賞区分：国際学会・会議・シンポジウム等の賞 

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担当区分：筆頭著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：ACM  

While research and applications of operated social robots that can be used as operators’ avatars have been conducted, a para-operated social robot has also been proposed, in which the robot and its operator exist in the same space, and the operator, robot, and interlocutor can interact with each other. From the findings of human-human-robot interaction research, it is known that the robot’s behavior influences the interpersonal relationships of the people involved in the dialog. However, there is no knowledge of how the operator is perceived by the interlocutor when the operations by the operator are unveiled. This paper reports preliminary results from two online surveys conducted to investigate the following question considering the robot-operator distance; Does the impression of the operator improve in unveiled para-operation when the operator operates the robot and has it say favorable utterances? The results of the two video surveys conducted at different distances between the robot and the operator show that the impression of the operator was improved by the robot’s favorable humorous utterances when the distance was close, but not when the distance was further apart. We consider that the findings contribute to the potential application of unveiled para-operated robots and suggest the importance of considering the distance factor in the influence of robots on human-human relationships.

DOI： 10.1145/3623809.3623924

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：ACM  

In recent years, a framework of parallel conversations has been proposed to facilitate efficient conversations through cooperation between humans and dialogue systems. This approach aims to enable simultaneous conversations with multiple users by enabling the system to handle basic conversation and human operators to intervene when problems arise in the system’s conversation. Previous studies on parallel conversations have primarily focused on delegating simple exchanges such as greetings and acknowledgments to the system, with humans taking over for more complex interactions like providing guidance. Recent advancements in large language models may change this situation, enabling dialogue systems to engage in more advanced interactions. In this study, to examine which interventions will be made when large language models are utilized, we placed six dialogue robots based on large language models in an actual facility and conducted a field experiment involving parallel conversations for about a month. Our analysis of the collected data on dialogues and interventions showed that the most frequent interventions were made for supporting interactions when the system failed to react to the user utterances, indicating the limitations of using large language models alone and clarifying our next steps for facilitating smoother parallel conversations.

DOI： 10.1145/3623809.3623863

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：ACM  

Dialogue systems are widely utilized in chatbots and call centers. However, it is often difficult for such systems to deliver fully autonomous dialogue. For users to have a better dialogue experience, a framework for human-system collaborative dialogue is proposed in which a human operator takes over the dialogue when needed, engaging in conversation with the user instead of the system (we call this process intervention). Operators join the dialogue in the middle; therefore, it is believed that dialogue summarization can be helpful for interventions. However, it is currently unclear whether dialogue summarization is actually useful. Therefore, in this study, we aim to investigate the usefulness of dialogue summaries for interventions through a field experiment conducted at an actual facility combining an aquarium and a zoo. The results of the field experiment revealed that dialogue summaries were more useful for intervention than dialogue history. Furthermore, we found no differences in the word categories included in the operator utterances during interventions irrespective of whether the dialogue history or dialogue format summary was presented to the operators, suggesting that dialogue format summary has content similar to that of dialogue history but improves the usefulness in intervention.

DOI： 10.1145/3623809.3623889

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担当区分：筆頭著者,　責任著者   記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Nature Portfolio  

Studies on social robots that can communicate with humans are increasingly important. In particular, semi-autonomous robots have shown potential for practical applications in which robot autonomy and human teleoperation are jointly used to accomplish difficult tasks. However, it is unknown how the attitude represented in the autonomous behavior of the robots affects teleoperators. Previous studies reported that when humans play a particular role, their attitudes align with that role. The teleoperators of semi-autonomous robots also play the role given to the robots and may assimilate their autonomous expression. We hypothesized that the attitude of teleoperators may align with that of robots through teleoperation. To verify this, we conducted an experiment with conditions under which a participant operated a part of the body of an android robot that autonomously expressed a preferential attitude toward a painting and a condition under which they did not. Experimental results demonstrated that the preferential attitude of participants who teleoperated the android aligned statistically significantly more with that of the robot in comparison to those who did not teleoperate it, thereby supporting our hypothesis. This finding is novel regarding attitude change in teleoperators of semi-autonomous robots and can support the implementation of effective human-robot collaboration systems.

DOI： 10.1038/s41598-022-13829-3

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担当区分：筆頭著者   記述言語：日本語   掲載種別：研究論文（学術雑誌）   出版者・発行元：ヒューマンインタフェース学会  

While the potential of adopting robots interacting with humans in stores was shown in the previous studies, however robots that can work with people in stores and provide services have not taken root in society yet. In this paper, we realized an android robot which can help the duties of the salespersons at a boutique as well as provide mental support by cooperating with them. We considered that it is important for such robots to not only serve the customers but also support the salespersons. Therefore, we first interviewed salespersons at a boutique to find out what they expect from the robot. The result of the survey showed that they mainly expect three points from the robot: 1) reducing the workload of salesperson, 2) providing mental support for salesperson, and 3) assisting salesperson to establish a good relationship with the customer. To deal with these issues, we implemented an onsite-operated android. Through an 11-day field experiment in a boutique, in which the salespersons used the android, it was observed that the android could contribute to the salespersons in some situation of the work, and more possibilities for the android to contribute to the salespersons in some different aspects was investigated.

DOI： 10.11184/his.22.3_275

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記述言語：日本語   掲載種別：書評論文，書評，文献紹介等   出版者・発行元：人工知能学会  

DOI： 10.11517/jjsai.38.1_46

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記述言語：日本語   掲載種別：書評論文，書評，文献紹介等   出版者・発行元：ヒューマンインタフェース学会  

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開催年月日： 2024年3月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：神戸国際会議場   国名：日本国  

人間は，小説中の登場人物を容易に把握できる．この処理を機械的に行うのが，登場人物検出である．本論文では，固有表現を対象とする登場人物検出器を提案する．本システムは，3つのモジュールから構成されており，小説テキスト中の人物を指し示す表現（人物表現）を認定し，同一人物を指し示す人物表現に同一の人物IDを割り当てた後，小説テキスト中の人物表現の出現箇所にタグを付与する．

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開催年月日： 2024年3月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：静岡大学 浜松キャンパス   国名：日本国  

遠隔操作型対話ロボットの操作インタフェースでは、操作者はロボットと対話相手との距離を把握しづらい。そのため、操作者は距離に応じて対話相手に聞こえやすく話すための発声の調整が難しく、また実際に聞こえやすく話せているか不安を感じてしまう。本研究ではこの問題を解決するため、操作者の現在の声量と最適な声量との差分をインタフェース上に表示することで、操作者に発声の調整を促す声量ゲージを開発した。本稿では、声量ゲージを実装し、予備実験でその使いやすさや操作者の不安感の軽減について検証した結果を報告する。

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開催年月日： 2024年3月

記述言語：日本語   会議種別：ポスター発表  

開催地：静岡大学 浜松キャンパス   国名：日本国  

本研究では，人とロボットのインタラクションにおける異常検出を目的とし，データセットの作成および異常検出モデルの構築を行った．具体的には，人とロボットのインタラクションに問題が生じた際に人間が介入する枠組みにおいて収集されたインタラクション映像に対して，人間が介入したシーンを異常と見做すことでデータセットを作成した．また，異常検出モデルは，既存の動画・音声分類モデルのファインチューニングを行うことで構築した．一般的なクラス分類手法に加えて，深層距離学習を用いたモデルを構築し，その有効性を検証した．

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開催年月日： 2024年3月

記述言語：日本語   会議種別：口頭発表（一般）  

開催地：静岡大学 浜松キャンパス   国名：日本国  

セラピーロボットが自律して人に接触することで，人のストレスを緩和することが期待される。しかし，ロボットからの自律した接触は人に不快感を与える可能性がある。そこで，本研究ではロボットからの自律した接触とユーザの操作に従った接触を融合させる半自律接触手法を提案した。実験により本手法によって，ロボットに触られている感覚を維持したまま，自律した接触と比べてユーザの不快感を低減でき，操作に従った接触と比べて飽きやすさを低減できることを示した。

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開催年月日： 2023年9月

記述言語：日本語   会議種別：ポスター発表  

開催地：公立はこだて未来大学   国名：日本国  

本研究では，異なる基本感情を視聴覚で組み合わせることで高次感情が知覚されるか，文脈に応じて異なる高次感情が知覚されるかについて，アンドロイドロボットを用いて検討した．対話中にアンドロイドが表現した感情を評定する実験の結果，恐怖の身体表現と悲しみ声の組み合わせから高次感情「恥」が知覚された．一方，文脈の違いで読み取られる高次感情に違いはみられないことが示された．またこの結果からアンドロイドロボットが高次感情をも表現できることも示唆された．

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種別：セミナー・ワークショップ

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種別：フェスティバル

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執筆者：本人以外 

論文 "An Attitude of a Teleoperator Manipulating a Part of an Android’s Body Gets Close to an Attitude the Android Autonomously Expresses" に関する記事

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執筆者：本人以外 

論文 "An Attitude of a Teleoperator Manipulating a Part of an Android’s Body Gets Close to an Attitude the Android Autonomously Expresses" に関する記事

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執筆者：本人以外 

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執筆者：本人以外 

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